HY-1C COCTS and CZI observation of marine oil spills in the South China Sea

被引:0
|
作者
Shen, Yafeng [1 ]
Liu, Jianqiang [2 ,3 ]
Ding, Jing [2 ,3 ]
Jiao, Junnan [1 ]
Sun, Shaojie [4 ]
Lu, Yingcheng [1 ]
机构
[1] International Institute for Earth System Science, Nanjing University, Nanjing,210046, China
[2] National Satellite Ocean Application Center, Beijing,100081, China
[3] Key Laboratory of Space Ocean Remote Sensing and Applications, Ministry of Natural Resources, Beijing,100081, China
[4] College of Marine Science, Sun Yat-sen University, Zhuhai,510275, China
来源
关键词
Optical remote sensing;
D O I
暂无
中图分类号
学科分类号
摘要
An ocean color satellite of China (Haiyang-1C, HY-1C) was launched on September 7, 2018, equipped with several optical sensors, such as the Chinese Ocean Color and Temperature Scanner (COCTS), Coastal Zone Imager (CZI), and ultraviolet imager. These instruments were tested in orbit for 6 months and used in ocean and coastal zone environmental monitoring in June 2019. The optical remote sensing of oil spills is a key research direction in marine environmental monitoring. Significant progress has been made in recent years, demonstrating its ability to detect, classify, and estimate the volumes of various oil spills. In this paper, the marine oil spill incident near Dongsha Island in the South China Sea on February 20, 2019 was used as a case study. COCTS and CZI captured the oil spill, and the oil spill area was scanned using the Visible Infrared Imager Radiometer Suite (VIIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS Terra & Aqua) on the same day. The angles (between the viewing direction and the direction of mirror reflection, θm) of COCTS, CZI, VIIRS, and MODIS Terra and Aqua images were extremely small, indicating that sunglint reflectance in these images can be ignored. Therefore, the light absorption and backscattering characteristics of oil spills and surrounding oil-free seawater account for the differences among the images. In other words, these light signals can only weakly detect marine oil spills compared with strong sunglint reflection. However, if backscattering can be distinguished, it can be useful in the identification of various types of weathered oil. COCTS, CZI, and VIIRS capture marine oil spills with high radiometric resolutions and signal-to-noise ratios. Moreover, oil spills form oil emulsions and non-emulsified oil slicks, which can be distinguished by CZI due to its high spatial resolution (~50 m). Uncertainty analysis of COCTS and CZI shows that the difference between an oil spill and the oil-free seawater of COCTS or CZI is obvious, implying that CZI can be used in estimating the volumes of oil spills. In the near future, the same sensors in the HY-1D satellite will be available, and a network observation system of the HY-1C/D satellite will provide global images daily. This resource will likely play an important role in future ocean color remote sensing. © 2020, Science Press. All right reserved.
引用
收藏
页码:933 / 944
相关论文
共 50 条
  • [41] HY-1C卫星CZI影像卤虫条带提取研究——以艾比湖为例
    王欣
    刘建强
    丁静
    田婧怡
    孙相晗
    田礼乔
    遥感学报, 2023, 27 (01) : 104 - 115
  • [42] 基于HY-1C CZI影像光谱指数重构数据MNF变换的红树林提取
    梁超
    刘利
    刘建强
    邹斌
    邹亚荣
    崔松雪
    海洋学报, 2020, 42 (04) : 104 - 112
  • [43] HY-1C卫星COCTS近海水体遥感反射率产品真实性检验
    许玉壮
    何贤强
    白雁
    朱乾坤
    龚芳
    遥感学报, 2023, 27 (01) : 14 - 25
  • [44] Cloud detection for HY-1C/COCTS over the ocean based on spectral-and-textural-information-guided deep neural network
    Fanli Liu
    Mingkun Liu
    Zhicheng Sheng
    Lei Guan
    Intelligent Marine Technology and Systems, 2 (1):
  • [45] Water Turbidity Monitoring of Zhiyin and Huangjia Lakes in Wuhan for COVID-19 Epidemic Using HY-1C CZI Data
    Zhou Q.
    Liu J.
    Wang J.
    Deng S.
    Tian L.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2020, 45 (05): : 676 - 681
  • [46] Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas
    Sun, Weifu
    Sangmanee, Chalermrat
    Jiang, Yuanchi
    Ma, Yi
    Li, Jiang
    Zhao, Yujia
    SENSORS, 2023, 23 (18)
  • [47] HY-1C/D卫星CZI数据的岛礁浅海水深遥感无控反演能力评估
    张华国
    马蕴涵
    厉冬玲
    曹雯婷
    王隽
    遥感学报, 2023, 27 (01) : 116 - 127
  • [48] 融合多尺度卷积和侧窗滤波的HY-1C CZI云检测方法附视频
    王新念
    马毅
    刘荣杰
    崔学荣
    赵鑫
    葛化鑫
    海洋科学进展, 2024, (01) : 102 - 115
  • [49] 基于HY-1C CZI数据的辽河口湿地盐地碱蓬群落碳储量评估
    李微
    王文硕
    张新宇
    段元棚
    杨戬波
    大连海洋大学学报, 2022, 37 (04) : 574 - 583
  • [50] HY-1C/D卫星CZI数据监测湖泊藻华的适用性评价与方法选择
    薛坤
    马荣华
    曹志刚
    胡旻琪
    李佳鑫
    遥感学报, 2023, 27 (01) : 171 - 186